
Lead Software Engineer β Technical Track
Posted Oct 19

Posted Oct 19
This is a fully remote position, open to applicants in District of Columbia, +1 more state.
β’ Spearhead, articulate, and create comprehensive full-stack software systems and platforms that facilitate extensive research, assessment, and dissemination of safety insights.
β’ Execute service boundaries, evolve data models, establish integration patterns, create pipelines, and develop evaluation frameworks.
β’ Establish technical direction across various projects and synchronize architecture and data frameworks with research priorities and the AI evaluation ecosystem.
β’ Iteratively design intricate, ambiguous, and cross-cutting systems.
β’ Guarantee uniformity in engineering practices and set standards for AI-assisted engineering.
β’ Utilize Claude Code on significant refactors, new projects, and adopted external code; create patterns and documentation.
β’ Offer insights on the hazardous, inappropriate, or ineffective use of AI coding tools.
β’ Guide junior engineers and encourage knowledge sharing and professional development.
β’ Support hiring, onboarding, and training of software engineers.
β’ Represent technical endeavors across the organization and in selected external environments.
β’ Contribute to or take the lead on department-specific and cross-functional initiatives.
β’ Bachelorβs degree in computer science or an equivalent combination of education and experience.
β’ A minimum of 8 years of experience in software development, concentrating on platform security.
β’ Proficient in multiple programming languages and frameworks.
β’ Experience in deploying various complex software products.
β’ Familiarity with the software development life cycle.
β’ Extensive expertise in React in production at significant scale or complexity, Python services, asynchronous patterns, meticulous data handling, sensible API design, PostgreSQL, complex data structures, containers, deployment, and observability.
β’ Architectural judgment based on practical experience with the ability to articulate trade-offs.
β’ Advanced use of AI coding tools, including Claude Code or similar technologies.
β’ Proven record of technical leadership without formal authority.
β’ Clear and direct written communication skills, with the ability to convey complex technical concepts to diverse audiences.
β’ A genuine interest in AI safety, testing & evaluation, or harm domains such as synthetic media and chatbot safety.
β’ Competitive salary and performance-based bonuses.
β’ Comprehensive health, dental, and vision insurance plans.
β’ Flexible working hours and remote work opportunities.
β’ Professional development and training programs.
β’ Generous paid time off and holiday leave.
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